Multi-Objective Gannet Optimization Algorithm for Dynamic Passenger Flow Allocation in Train Operation Plan Optimization
Ming-Li Zhao,
Shao-Quan Ni,
Zhi-Gang Du
et al.
Abstract:This paper proposes a multi-objective Gannet Optimization Algorithm (MOGOA) to address the issue of unbalanced train occupancy rates in railway train operation planning. MOGOA employs an adaptive multi-population co-evolutionary strategy to balance exploration and exploitation, utilizing a nondominated sorting algorithm based on crowding distance to select parent and child samples. These samples serve as initial solutions for subsequent iterations. A novel maximin fitness function guides the iterative update o… Show more
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